Query Intent Mapping

2. The system of claim 1, wherein the processor is further configured to determine the product type data by tagging a product type for the one or more queries.

3. The system of claim 1, wherein the processor is further configured to determine the attribute data by tagging the one or more queries with a sequence tagger.

4. The system of claim 1, wherein the interaction of customers with a retrieved item further comprises at least one of a customer viewing the retrieved item on an e-commerce website, or the customer purchasing the retrieved item on the e-commerce website.

5. The system of claim 1, wherein the processor is further configured to determine the cumulative engagement data by combining the sequence attribute data and sequence value data with the catalog attribute data and catalog value data, and generating a cumulative engagement count.

6. The system of claim 5, wherein the cumulative engagement count comprises a number of times customers interacted with a retrieved item that corresponds to the evaluation set.

7. The system of claim 1, wherein the processor is further configured to generate the evaluation score for the evaluation set by combining string match level features and the calculated probability.

10. The method of claim 9, wherein determining the product type data comprises tagging a product type for the one or more queries.

11. The method of claim 9, wherein determining the attribute data comprises tagging the one or more queries with a sequence tagger.

12. The method of claim 9, wherein the interaction of customers with a retrieved item further comprises at least one of a customer viewing the retrieved item on an e-commerce website or the customer purchasing the retrieved item on the e-commerce website, or the customer adding the retrieved item to an online shopping cart.

13. The method of claim 9, wherein determining the cumulative engagement data comprises combining the sequence attribute data and sequence value data with the catalog attribute data and catalog value data, and generating a cumulative engagement count.

14. The method of claim 13, wherein the cumulative engagement count comprises a number of times customers interacted with a retrieved item that corresponds to the evaluation set.

18. The computer program product of claim 17, wherein the cumulative engagement count comprises a number of times customers interacted with a retrieved item that corresponds to the evaluation set.